An Artificial Intelligent Signal Amplification System for in vivo Detection of miRNA

doi:10.3389/fbioe.2019.00330

	An Artificial Intelligent Signal Amplification System for in vivo Detection of miRNA
	Ma, Xibo1,2 ; Chen, Lei 3; Yang, Yingcheng 3; Zhang, Weiqi 2,4; Wang, Peixia 2,4; Zhang, Kun1,5 ; Zheng, Bo 3; Zhu, Lin1,2 ; Sun, Zheng1,2 ; Zhang, Shuai1,2 ; Guo, Yingkun 5; Liang, Minmin 6; Wang, Hongyang 3; Tian, Jie 1,2,7
发表期刊	FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
ISSN	2296-4185
	2019-11-21
卷号	7 页码:15
通讯作者	Ma, Xibo(xibo.ma@ia.ac.cn) ; Wang, Hongyang(hywang@vip.sina.com) ; Tian, Jie(jie.tian@ia.ac.cn)
摘要	MicroRNAs (miRNA) have been identified as oncogenic drivers and tumor suppressors in every major cancer type. In this work, we design an artificial intelligent signal amplification (AISA) system including double-stranded SQ (S, signal strand; Q, quencher strand) and FP (F, fuel strand; P, protect strand) according to thermodynamics principle for sensitive detection of miRNA in vitro and in vivo. In this AISA system for miRNA detection, strand S carries a quenched imaging marker inside the SQ. Target miRNA is constantly replaced by a reaction intermediate and circulatively participates in the reaction, similar to enzyme. Therefore, abundant fluorescent substances from S and SP are dissociated from excessive SQ for in vitro and in vivo visualization. The versatility and feasibility for disease diagnosis using this system were demonstrated by constructing two types of AISA system to detect Hsa-miR-484 and Hsa-miR-100, respectively. The minimum target concentration detected by the system in vitro (10 min after mixing) was 1/10th that of the control group. The precancerous lesions of liver cancer were diagnosed, and the detection accuracy were larger than 94% both in terms of location and concentration. The ability to establish this design framework for AISA system with high specificity provides a new way to monitor tumor progression and to assess therapeutic responses.
关键词	in vivo detection of non-coding RNA an artificial intelligent signal amplification system early diagnosis of precancerous lesions fluorescent molecular tomography stem cell tracing
DOI	10.3389/fbioe.2019.00330
关键词[WOS]	FLUORESCENCE MOLECULAR TOMOGRAPHY ; SEQUENCE DESIGN ; CARDIAC-FUNCTION ; RECONSTRUCTION ; TOEHOLD ; LOGIC ; PHARMACOKINETICS ; QUANTIFICATION ; ALGORITHM ; SWITCHES
收录类别	SCI
语种	英语
资助项目	National Key Research programs of China[2016YFA0100900] ; National Key Research programs of China[2016YFA0100902] ; National Key Research programs of China[2017YFA0205200] ; National Natural Science Foundation of China[81871442] ; National Natural Science Foundation of China[81227901] ; National Natural Science Foundation of China[815270805] ; National Natural Science Foundation of China[61231004] ; Chinese Academy of Sciences[GJJSTD20170004] ; Beijing Municipal Science and Technology Commission[Z161100002616022] ; National Key Research programs of China[2016YFA0100900] ; National Key Research programs of China[2016YFA0100902] ; National Key Research programs of China[2017YFA0205200] ; National Natural Science Foundation of China[81871442] ; National Natural Science Foundation of China[81227901] ; National Natural Science Foundation of China[815270805] ; National Natural Science Foundation of China[61231004] ; Chinese Academy of Sciences[GJJSTD20170004] ; Beijing Municipal Science and Technology Commission[Z161100002616022]
项目资助者	National Key Research programs of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences ; Beijing Municipal Science and Technology Commission
WOS研究方向	Biotechnology & Applied Microbiology ; Science & Technology - Other Topics
WOS类目	Biotechnology & Applied Microbiology ; Multidisciplinary Sciences
WOS记录号	WOS:000501162100001
出版者	FRONTIERS MEDIA SA
七大方向——子方向分类	医学影像处理与分析
引用统计	被引频次：2[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/29346
专题	中国科学院分子影像重点实验室
通讯作者	Ma, Xibo; Wang, Hongyang; Tian, Jie
作者单位	1.Chinese Acad Sci, Inst Automat, Key Lab Mol Imaging, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China 3.Second Mil Med Univ, Eastern Hepatobiliary Surg Inst, Int Cooperat Lab Signal Transduct, Shanghai, Peoples R China 4.Chinese Acad Sci, Ctr Excellence Biomacromol, Natl Lab Biomacromol, Inst Biophys, Beijing, Peoples R China 5.Sichuan Univ, West China Univ Hosp 2, Dept Radiol, Chengdu, Sichuan, Peoples R China 6.Beijing Inst Technol, Sch Mat Sci & Engn, Expt Ctr Adv Mat, Beijing, Peoples R China 7.Beihang Univ, Beijing Adv Innovat Ctr Big Data Based Precis Med, Beijing, Peoples R China
第一作者单位	中国科学院分子影像重点实验室
通讯作者单位	中国科学院分子影像重点实验室
推荐引用方式 GB/T 7714	Ma, Xibo,Chen, Lei,Yang, Yingcheng,et al. An Artificial Intelligent Signal Amplification System for in vivo Detection of miRNA[J]. FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY,2019,7:15.
APA	Ma, Xibo.,Chen, Lei.,Yang, Yingcheng.,Zhang, Weiqi.,Wang, Peixia.,...&Tian, Jie.(2019).An Artificial Intelligent Signal Amplification System for in vivo Detection of miRNA.FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY,7,15.
MLA	Ma, Xibo,et al."An Artificial Intelligent Signal Amplification System for in vivo Detection of miRNA".FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY 7(2019):15.